Google is attending over 3 billion search queries every day and this makes it dominant in the online search market. After the recent major restructuring, it is quite evident that the search giant is looking beyond online advertising, which accounts for 90% of its total quarterly revenue. Recently, Google has managed to get an approval on the patent for a search tool, named as “Computer Application Data in Search Results. It helps Google to enable search functionality to look through applications, data, and files stored in the system. According to the filings, the patent covers all type of computing devices, so now Google could peep into devices, including Smartphone and Tablet, which is used for a search. It is even capable of searching and finding out the data stored in the cloud.
Native applications, remote services, and registered applications, including social, media and navigation apps are also covered by the patent. The idea is that whatever a user search a particular term from Windows or Mac, it should be able to bring the information after scanning all files saved on Google Cloud and cloud-based Google Services as well as anything a user has stored on his local hard drive – conditionally Google has permission to access the data.
The new patent functionality reminds us of Google Desktop – a software with desktop search capabilities launched by Google for Windows and Mac in 2004. However, in 2007, Google faced the setback when it was proved that a person could access and take the control of the whole system using Google Desktop. Packaging and end user license agreement was another issue that came up later. Consequently, Google had to call back this feature for Windows in 2011. This forced Google to change some of the logics in the Google Desktop Version 5 to keep it afloat in the market. However, the company never adopted a strategic and aggressive approach to market it.
With the approval of new patent, Google is apparently trying to gain control over users Desktop and Cloud Storage data indirectly, leveraging its search engine reach and adoption widely. However, implementing the new capabilities is not as easy as it seems. Electronic Frontier Foundation (EFF) has a major concern for the privacy that whether the personal information get saved to the user’s hard drives. According to EFF certain features like Search Across Computers has higher risks of privacy as it allows the user to search for the data from the desktop.
Implementation of the new feature could be debatable eventually, though, but it is Google, so we can assume that they won’t be accessing any of users’ information without their approval. And with the advent of technology, sooner or later Google would be working offline to search and connect your search with the findings.
Alphabet, now being the parent company of Google would face many innovations, as each technology gains engineers’ attention and proper guidance. Besides, Microsoft and Apple have recently worked on bringing personalized search capabilities to their desktop operating system. From this new move, it seems like Google also wish to keep an equal pace with this technological advancement and gain market share too.
Google spies because Google uses SQL database, targeting advertisers to users.
SQL, Structured Query Language is a programming language designed for managing data held in relational database, and was intended to manipulate and retrieve the data. SQL structures EXTERNAL questions in the sense that it was designed to convert incorrectly formulated EXTERNAL questions, queries into the right ones.
SQL works with structured data; where the structured data refers to information with a high degree of organization, such the database is easily searchable by simple, straightforward search engine.
SQL structures queries which have NOTHING to do with the data itself!
Google spies after EXTERNAL to the data details, which describe the data in all its aspects, and Google sells these details to advertisers and whoever pays.
Because of the above Google collects absolutely all available details.
I, however, discovered and patented how to structure any data without SQL, the queries – INTERNALLY: Language has its own INTERNAL parsing, indexing and statistics and can be structured INTERNALLY. (For more details please browse on my name ‘Ilya Geller’.)
For instance, there are two sentences:
a) ‘Sam!’
b) ‘A loud ringing of one of the bells was followed by the appearance of a smart chambermaid in the upper sleeping gallery, who, after tapping at one of the doors, and receiving a request from within, called over the balustrades -‘Sam!’.’
Evidently, that the ‘Sam’ has different importance into both sentences, in regard to extra information in both. This distinction is reflected as the phrases, which contain ‘Sam’, weights: the first has 1, the second – 0.08; the greater weight signifies stronger emotional ‘acuteness’; where the weight refers to the frequency that a phrase occurs in relation to other phrases.
My technology structures INTERNALLY the data itself and it does not need any spying, no any EXTERNAL details.
SQL cannot produce the above INTERNAL statistics – SQL is obsolete and out of business.
Google is obsolete and out of business: structured advertisements can search for people based on their profiles of structured data, they don’t need any EXTERNAL details, they find enough information INTERNALLY.